Hi,
You can do this with repeat uses of the max_inst_all_threads parameter. The
file configs/common/simulate.py does this for fast forwarding and warmup.
Here is part of the script I am using:
if options.max_insts:
count = 0
while count < options.numcpus:
exit_event = m5.simulate()
cause = exit_event.getCause()
if cause != "all threads reached the max instruction count":
break
count += 1
Good Luck,
Michael
Hello,
> I am running a multi-programmed simulation in SE mode (16 cores, 16
> threads, 1 thread/core).
>
> I want to simulate each core for a fixed (or atleast) number of
> instructions (say 100million). With this scenario, some cores will
> execute greater number of instructions if the thread executes faster. So
> we may execute 100Mil, 150Mil, 200Mil, and so on.
>
> I was reading some of the earlier discussions on this issue (2008) and
> there doesn't seem to be a way to do this. The max_inst_all_threads
> works across all threads, but only for 1 cpu. Even if we assign it for
> every cpu using:
>
> switch_cpu_1[i].max_inst_all_threads = max_insts
>
> the entire simulation exits when any 1 cpu reaches that count.
>
> does anyone know how to do this? I was looking at simulate.cc and
> sim_events.cc where the CountedExitEvent object is used. If I understand
> correctly, it decrements the counter when any thread for a given cpu
> terminates, and it signals an M5 exit event when an cpu finishes the
> max_insts count for all its own threads.
>
> Can you suggest how we can modify this to keep track of threads across
> different cores? Also, is it a realistic model to not let the other
> cores continue after reaching max_inst_all_threads, but to stall them
> till the other cores catch up?
>
> Thanks,
> Sujay
>
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